Thank you Jeff. I think the code you wrote works. The value I put in the
output was just guessing by looking at the graph.
Thank you once again Jeff.
temp<-structure(list(X = c(1468285.96, 1468476.96, 1468479.96, 1468482.96,
1468485.96, 1468467.96, 1468470.96, 1468473.96, 1468476.96, 1468479.96,
1
Piecewise linear interpolation is implemented in the ?approx function. It does
not agree exactly with your Output, I don't know if there is something else you
are accounting for it if your Output is in error.
temp$index <- approx( table2$temp, table2$Index, temp$temp )$y
BTW your code was usabl
Hi R Users,
I have two tables, one is temperature data (temp) and another table is a
suitability index. I wanted to assign the suitability index value in the
temperature data (temp) based on Table 2 (or graph, which is a suitability
curve), but I could not figure it out.
Are there any suggestions f
Hi,
A search would suggest that there may not be an R function/package that
provides power/sample size calculations for the specific scenarios that
you are describing. There may be something that I am missing, and there
is also other dedicated software such as PASS
(https://www.ncss.com/softw
Hi, James,
if I understand you correctly, maybe,
with(firstdf,
ifelse(Province %in% seconddf$Country,
Province,
Country)
)
does what you want?
Hth -- Gerrit
-
Dr. Gerrit Eichner Mathem
I have two columns in a larger data set that list countries in one column and,
in some cases, individual provinces within a country or oversea territories in
another. I have country population in a second data set that I’m planning to
use to calculate per capita rates in the first data set. My i
Hi Marc:
First, thank you very much for your help in this matter.
Will perform an initial omnibus test of all three groups (e.g. 3 x 2
chi-square), possibly followed by
all possible 2 x 2 pairwise comparisons (e.g. 1 versus 2, 1 versus 3,
2 versus 3),
We can assume *either* the desired sample s
Dear Richard O'Keefe,
Thank you very much.
Take care.
Md
On Tue, Aug 10, 2021 at 8:33 AM Richard O'Keefe wrote:
> If you want to look at each digit, you should take a step back and
> think about what the
> Whipple index is actually doing. Basically, the model underlying the
> Whipple index i
The build system rolled up R-4.1.1.tar.gz (codename "Kick Things") this morning.
The list below details the changes in this release.
You can get the source code from
https://cran.r-project.org/src/base/R-4/R-4.1.1.tar.gz
or wait for it to be mirrored at a CRAN site nearer to you.
Binaries for
If you want to look at each digit, you should take a step back and
think about what the
Whipple index is actually doing. Basically, the model underlying the
Whipple index is
that Pr(age = xy) = Pr(age = x*)Pr(age = *y) if there is no age
heaping. Or rather,
since the age is restricted to 23..62 (
10 matches
Mail list logo
